I have obtained a Ph.D. from Department of CSE, IIT Bombay where I worked with Prof. Sunita Sarawagi on various problems in temporal modeling domain such as forecasting in time-series and point processes, missing value imputation, and anomaly detection. The details of our publications are given below.
Before joining IITB, I was M.S. scholar in the CSE, IIT Madras. For my M.S. thesis, I have worked with Prof. B. Ravindran in the area of Social Network Analysis, on the problem of community detection in large networks.
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts.
Prathamesh Deshpande and Sunita Sarawagi.
IJCAI 2022.
[Paper] [Code] [Talk 📢]
Missing Value Imputation on Multidimensional Time Series.
Parikshit Bansal, Prathamesh Deshpande, and Sunita Sarawagi.
VLDB 2021.
[Paper]
Long Horizon Forecasting With Temporal Point Processes.
Prathamesh Deshpande, Kamlesh Marathe, Abir De, and Sunita Sarawagi.
WSDM 2021 (Acceptance Rate 18.6 %).
[Paper] [Code] [Talk 📢]
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units
Prathamesh Deshpande and Sunita Sarawagi
KDD 2019 (Acceptance Rate 14.2 %)
[Paper] [Code] [Poster]